How Do Machine Learning Algorithms Handle Such Large Amounts Of Data?

How do Machine Learning algorithms handle such large amount of data in companies (or real-life cases)? Machine learning algorithms face two main constraints: Memory and processing speed. Let's talk about memory first, which is usually the most limiting constraint. A modern PC typically has something like 16 GB RAM. Consequently, it can load datasets up to a few GBs in memory, which means millions, if not billions, of data points. For many machine learning tasks, this is more than enough.